Media Objectivity Score provides an infrastructure for evaluating news articles by breaking them down with its proprietary MOS system, which delivers a comprehensive objectivity rating. The platform combines this analysis with an expert panel of academics and a dedicated writing department to produce transparent, rigorously vetted journalism, helping readers quickly grasp the full context of any story.
Funding
Funding not disclosed
Founders
Product
Problem
Readers often lack a clear, systematic way to evaluate the bias and balance of news articles, making it difficult to discern objective information across topics such as migration, demography, and security.
Solution
Media Objectivity Score (MOS) offers an analytical infrastructure that deconstructs any article to reveal its underlying bias and balance. The proprietary MOS algorithm quantifies content dimensions, while an expert panel of academics and professionals validates the findings. A dedicated writing department produces transparent, rigorously vetted journalism that incorporates MOS insights. Users can quickly access an objective score and detailed breakdown for each piece, enabling informed comparisons across sources and topics.
Target Audience
Primary users are journalists, researchers, and informed readers who need reliable assessments of media bias across specific policy and social topics.
Features
- Proprietary MOS algorithm that parses articles and generates quantitative bias and balance metrics
- Expert panel review that cross‑checks algorithmic results with scholarly and professional standards
- In‑house writing team producing articles that integrate MOS analysis for transparent reporting
- Topic‑specific dashboards (e.g., migration, demography, security) displaying comparative objectivity scores
- Quick‑view summaries that present the full bias breakdown alongside the original content